rsHRF: A toolbox for resting-state HRF estimation and deconvolution

Guo-Rong Wu, Nigel Colenbier, Sofie Van Den Bossche, Kenzo Clauw, Amogh Johri, Madhur Tandon, Daniele Marinazzo

Open source

DOI: 10.1016/j.neuroimage.2021.118591
Published: 2021-12
Container: NeuroImage
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neuroimage.2021.118591,
  title = {rsHRF: A toolbox for resting-state HRF estimation and deconvolution},
  author = {Guo-Rong Wu and Nigel Colenbier and Sofie Van Den Bossche and Kenzo Clauw and Amogh Johri and Madhur Tandon and Daniele Marinazzo},
  year = {2021},
  journal = {NeuroImage},
  doi = {10.1016/j.neuroimage.2021.118591},
  url = {https://doi.org/10.1016/j.neuroimage.2021.118591}
}

RIS

TY  - JOUR
TI  - rsHRF: A toolbox for resting-state HRF estimation and deconvolution
AU  - Guo-Rong Wu
AU  - Nigel Colenbier
AU  - Sofie Van Den Bossche
AU  - Kenzo Clauw
AU  - Amogh Johri
AU  - Madhur Tandon
AU  - Daniele Marinazzo
PY  - 2021
JO  - NeuroImage
DO  - 10.1016/j.neuroimage.2021.118591
UR  - https://doi.org/10.1016/j.neuroimage.2021.118591
ER  -

APA

Wu, G., Colenbier, N., Bossche, S. V. D., Clauw, K., Johri, A., Tandon, M., & Marinazzo, D. (2021). rsHRF: A toolbox for resting-state HRF estimation and deconvolution. NeuroImage. https://doi.org/10.1016/j.neuroimage.2021.118591

Source records

crossref · retrieved 2026-09-26T14:30:20.550Z